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Heteroscedastic Regression and Active Learning for Modeling Affordances in Humanoids.

, , , and . IEEE Trans. Cogn. Dev. Syst., 10 (2): 455-468 (2018)

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Evolving Cellular Neural Networks for the Automated Segmentation of Multiple Sclerosis Lesions., , , , , and . Variants of Evolutionary Algorithms for Real-World Applications, Springer, (2012)A CNN Based Algorithm for the Automated Segmentation of Multiple Sclerosis Lesions., , , , , and . EvoApplications (1), volume 6024 of Lecture Notes in Computer Science, page 211-220. Springer, (2010)Heteroscedastic Regression and Active Learning for Modeling Affordances in Humanoids., , , and . IEEE Trans. Cogn. Dev. Syst., 10 (2): 455-468 (2018)A Neuro-Robotics Model for the Acquisition of Higher Order Concepts in Action and Language., , and . CogSci, cognitivesciencesociety.org, (2012)Coupling Deep Discriminative and Generative Models for Reactive Robot Planning in Human-Robot Collaboration., , , , , , , and . SMC, page 1869-1874. IEEE, (2019)Towards the grounding of abstract words: A Neural Network model for cognitive robots., , and . IJCNN, page 467-474. IEEE, (2011)Making sense of words: a robotic model for language abstraction., , and . Auton. Robots, 41 (2): 367-383 (2017)Grounding speech utterances in robotics affordances: An embodied statistical language model., , , and . ICDL-EPIROB, page 79-86. IEEE, (2016)Grounding abstract action words through the hierarchical organization of motor primitives., , and . ICDL-EPIROB, page 1-2. IEEE, (2013)A Knowledge-driven Approach for Human-Robot Collaborative Manufacturing., , , , , , , and . RobOntics@RO-MAN, volume 3595 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)